This special issue is devoted to the topic Breconfigurable radio technologies in support of ubiquitous seamless computing.^ Currently, wireless communications comprise a wide set of Radio Access Technologies (RATs). Important evolutions are the introduction of 2.5G/3G/ 4G mobile infrastructures, the suite of IEEE 802 wireless technologies, and the advent of Digital Video Broadcasting (DVB). Moreover, significant research effort is dedicated to the elaboration of the era of wireless communications, Beyond the 3rd Generation (B3G). The B3G concept sees radio access technologies and networks as complementary components of a heterogeneous wireless-access infrastructure. Users can be served through the most appropriate networks, in terms of cost and QoS. Network providers can rely on different technologies for offering the required capacity and QoS levels, in a cost-efficient manner. Therefore, next generation wireless systems will offer a continuity of experience achieved through seamless connectivity. Reconfigurable radio offers essential enabling technologies for the B3G era. It envisages terminals and network segments that dynamically (seamlessly and securely) adapt to the set of RATs, which are most appropriate for coping with the traffic demand, environment context both temporally and geographically. Reconfigurable radio, being an enabler for B3G, is expected to boost the introduction of seamless ubiquitous computing applications and scenarios. The special issue covers advances in various research areas related to reconfigurable radio and other enablers of a true seamless experience. The ten papers selected for this special issue address research problems from several pertinent areas, namely radio resource management, terminal functionality, middleware, applications enabled by reconfigurable platforms, protocol stack reconfigurations. The first paper, BAdaptive channel allocation spectrum etiquette for cognitive radio networks,^ by N. Nie and C. Comaniciu, falls in the area of radio resource management in a context with cognitive and reconfigurable radios and networks. It presents a game theoretic framework for performing channel allocation in cognitive radio networks. Selfish and cooperative users are considered, respectively. For cooperative users the channel allocation problem is formulated as a potential game, and thus converges to a deterministic Nash equilibrium point. Moreover, a no-regret learning implementation is proposed for both scenarios. This formulation is found particularly useful to accommodate selfish users. In general the paper shows improved network performance at the expense of an increased overhead required for information exchange. The second paper, BAdaptive resource management platform for reconfigurable networks,^ by K. Moessner et al., addresses various resource management problems that have to be addressed in the context of reconfigurable networks. Specifically three problems are defined and solved in the context of a platform. The problems identified target the joint management of Mobile Networks and Applications (2006) 11: 775–777 DOI 10.1007/s11036-006-0048-z